Dynamic attention map by Ising model for human face detection
Dynamic attention map by Ising model for human face detection
复制标题
用于人脸检测的 Ising 模型的动态注意力图
DOI：
10.1109/icpr.1998.711870
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发表时间：
1998
期刊：
影响因子：
--
通讯作者：
Takio Kurita
中科院分区：
文献类型：
--
作者：
Masaru Tanaka;K. Hotta;T. Mishima;Takio Kurita
我们提出了一种缩小尺度不变人脸检测搜索空间的方法，该方法使用伊辛动力学实现的动态注意力图。将所提出的方法与基于对数极坐标图像的高阶局部自相关（HLAC）特征和“人脸”和“非人脸”分类的线性判别分析的尺度不变人脸检测方法相结合，通过一些实验表明，可以更快地检测到图像中的“人脸”区域。
We present a method to narrow down the search space for scale-invariant human face detection, which uses a dynamic attention map implemented by Ising dynamics. Combining the proposed method and the scale-invariant face detection method which is based on both higher-order local autocorrelation (HLAC) features of a log-polar image and linear discriminant analysis for "face" and "not face" classification, it is shown that the "face" region in the image can be detected faster with some experiments.